Multi-attribute Evaluation Method Research Articles

Site Suitability Evaluation of a Large Commercial Complex Using an Improved Projection Pursuit Model

In developing countries, especially China, large-scale commercial complexes are the current trend in commercial real estate. Compared with other similar buildings, scientific site selection is very important for the smooth construction and efficient operation of these complexes. However, there is still a lack of a targeted evaluation index system and quantitative evaluation methods. Therefore, this paper put forward the evaluation index system and method of large-scale commercial-complex location based on a projection pursuit model. First, this paper comprehensively considered the environmental, social, and economic factors, and used secondary and tertiary indicators to systematically establish an evaluation index system. This index system effectively dealt with the complex problem of its site selection. Compared with the traditional multi-attribute evaluation method based on expert advice, the evaluation method of the improved projection pursuit model based on a sparrow search algorithm constructed in this paper was to mine key information from the evaluation data, which could evaluate the site suitability of large commercial complexes more scientifically and objectively. In addition, this paper made a detailed empirical study of the Joy City project in Nanchang, China. The research results found the key factors affecting the site selection of the project and determined that the site-selection evaluation result of the project was medium. The research results of this paper provide the scientific and objective decision-making basis for the development enterprises of large commercial complexes to reduce site-selection risk and improve investment efficiency.

Fractional Orthotriple Fuzzy Dombi Power Partitioned Muirhead Mean Operators and Their Application for Evaluating the Government Information Disclosure on Public Health Emergencies

Information disclosure is an important prerequisite and guarantee for the government to answer public health incidents in a timely manner, and is also a basic requirement for the management of emergencies. Evaluating the information disclosure on public health incidents is conducive to improving the quality of emergency information disclosure and comprehensively enhancing the emergency answer and treatment ability of public health incidents. In response to the complex uncertainties in the assessment of information disclosure on public health incidents, this paper proposes a new fuzzy multi-attribute evaluation method. First, a multi-attribute evaluation system for the assessment of information disclosure on public health emergencies is proposed. Then, a novel approach to information disclosure assessment is proposed on the basis of Dombi power divided Muirhead mean operators of fractional orthotriple fuzzy, which can fully consider the relationship between properties and the division of relationships within properties and reduce the distortion in the evaluation process. Meanwhile, it can avoid the impact of singular values on the overall evaluation outcomes of the government. In the end, the effectiveness and flexibility of the approach are validated through an empirical study of a real-life case with comparative analysis and sensitivity analysis.

An Integrated Approach to Green Mines Based on Hesitant Fuzzy TOPSIS: Green Degree Analysis and Policy Implications

China proposes to construct green mines as one of the significant means to elevate the green degree of mining industry and protect the mining environment. This paper constructs six evaluation indicators, namely mine environment, Resource development mode, Comprehensive utilization of resources, Energy conservation and emission reduction, Technological innovation and digital mining, Enterprise management and corporate image, to reflect green degree of mining firms. An improved multiattribute evaluation method (MAEM) is proposed based on hesitant fuzzy TOPSIS and kernel method. A case study of green mining firms in Panxi, southwestern China is provided to demonstrate the application of the proposed model. According to the research in this paper, it is more appropriate to expand the data in accordance with the optimistic criteria. The results also show that the improved hesitant fuzzy TOPSIS is a better method in the evaluation of green degree. Through the results of this paper, a reasonable and scientific method is introduced for the evaluation of the green degree of mining firms, and it can be promoted to the evaluation of the mineral resource development efficiency.

Multi-Objective, Multi-Disciplinary Design Optimization and Multi-Attribute Evaluation of Hybrid Rocket Motors Used for Manned Lunar Lander

This paper proposed a multi-objective, multi-disciplinary design optimization and multi-attribute evaluation method for the manned lunar lander descent stage. A system design model is established considering multiple disciplines such as propulsion, structure, trajectory and cost. With the goal of minimizing mass, minimizing cost and maximizing velocity increment, the overall scheme for hybrid rocket motors was optimized by altering various grain shapes and feed systems, acting as an alternative propulsion scheme for the manned lunar lander. Under the same design conditions, the optimal scheme of hybrid rocket motors considering continuous and discrete attributes was studied and compared with that of liquid rocket engines to elucidate the characteristics of the hybrid rocket motors for deep space exploration. The results showed that the evaluation results obtained by considering only continuous attributes were different from those by considering both continuous and discrete attributes. The liquid propulsion scheme with liquid oxygen/kerosene is superior to the hybrid propulsion schemes due to its excellent cost and specific impulse performance when only continuous attributes are considered. However, hybrid rocket motors have shown good performance in terms of operability, manufacturability, safety and environmental protection. So, after introducing discrete attributes, the hybrid propulsion schemes show greater potential. In brief, based on the multi-attribute evaluation method considering comprehensive attributes, the hybrid rocket motor provided with tube grain and gas pressure feed system was considered as the optimal propulsion system for the lunar lander. Furthermore, the parametric analysis showed that the fuel grain outside diameter, the initial design thrust and the initial oxygen-to-fuel ratio had a significant influence on the performance of the hybrid rocket motor for the lunar lander, and in particular, the effect of the fuel grain outside diameter was more than 50%.

Risk evaluation and prevention of China’s investment in countries along the belt and road

The Belt and Road Initiative is a major Initiative proposed by Chinese President Xi Jinping in 2013. Research on the risk prevention and control of China’s financial investment in countries along the Belt and Road has become a very hot topic in the world. This research focuses on the risk evaluation methods and prevention and control countermeasures of China’s foreign investment under the Belt and Road Initiative. First, based on the analysis of the existing studies on economic investment evaluation, an intuitionistic fuzzy multi-attribute evaluation method based on entropy method and G1 method is proposed. The essence of the proposed method is to combine the intuitionistic fuzzy set theory with subjective and objective evaluation methods, which improves the disadvantage of the original evaluation method taking too much subjective factors into consideration. This study applies the proposed method to the economic risk evaluation of China’s outward foreign direct investment (OFDI), constructs a 17-indicator economic risk system, and uses this method to rank the importance of the 17 indicators. The more important contribution is that this paper not only achieves improvements at the theoretical level and innovation at the practical level, but also condenses the research conclusions into three pieces of countermeasures and suggestions on China’s investment in countries along the Belt and Road. This research can provide theoretical support for Chinese government to make financial investment decisions in countries along the Belt and Road, and can also help countries along the Belt and Road to actively integrate into the Belt and Road Initiative, and promote the high-quality social and economic development of the countries along the Belt and Road.

A multi-attribute decision-making method for the location selection of emergency rescue centers based on improved cumulative prospect theory under the background of ecological sustainable development

The location decision of the emergency rescue center, as a necessary link in the early stage to ensure the smooth development of emergency management, has become increasingly important. This paper analyzes the research theories and methods of location problem at home and abroad. By considering the decision-making psychological behavior of decision-makers, based on the idea of cumulative prospect theory, combined with the Pythagorean fuzzy multi-attribute evaluation method, this paper proposes a Pythagorean fuzzy multi-attribute decision-making evaluation method based on improved cumulative prospect theory. This method is to sort the results of each decision-making scheme by calculating the comprehensive cumulative prospect value. Based on the utility curve improved cumulative prospect theory, the research first depicts the psychological behavior characteristics of various decision-making groups under different risk preferences, and then designs a distance measurement method based on the geometric center of Pythagorean fuzzy right triangle. The main core of the distance measurement method is to convert Pythagorean fuzzy numbers into Pythagorean fuzzy right triangles. In the aspect of attribute weight assignment, a subjective and objective weighting method based on the combination of value function and deviation method of improved cumulative prospect theory is proposed. Finally, the Pythagorean fuzzy multi-attribute decision-making method based on the improved cumulative prospect theory is realized through the selection of reference objects, the calculation of value function value, weight function value and cumulative prospect value. This study takes the site selection of emergency rescue center in the construction period of Ya’an Linzhi Section of Sichuan Tibet Railway in China as an example, and proposes 10 emergency rescue centers as alternatives. Considering the different preferences of decision-makers, the improved decision-making method proposed in this paper is used to obtain the most optimal site selection scheme under different decision-making preferences.

Exploring a multi-objective cluster-decomposition framework for optimizing flood control operation rules of cascade reservoirs in a river basin

Multi-objective flood control operation of cascade reservoirs is a vital issue in river basin management. However, traditional multi-objective approaches commonly provide one operation scheme only and fail to offer decision-makers with more Pareto-front options. This study explores a multi-objective cluster-decomposition framework for optimizing the flood control operation rules of cascade reservoirs in a river basin. The proposed framework involves a multi-objective optimization module, a cluster-decomposition module, and an evaluation and sorting module. The multi-objective cluster-decomposition framework simultaneously deals with three objectives: to minimize the flood peaks of flood control points (O1); to minimize the reservoir capacity used for flood control (O2); and to minimize the flood diversion volume of the flood detention area (O3). The complex flood control system composed of two cascade reservoirs, four navigation-power junctions, one flood detection area, and three flood control points in the Ganjiang River basin of China constitutes the case study. The results demonstrate that the proposed framework can significantly improve the comprehensive benefits of the cascade reservoirs, where the maximum reduction in objectives O1–O3 is 2071 m3/s (the improvement rate is 2.64 %), 219 million m3 (the improvement rate is 44.60 %), and 167 million m3 (the improvement rate is 78.13 %), respectively. Furthermore, in contrast to the traditional multi-attribute evaluation method, the proposed framework can effectively identify compromised decisions through a cluster-decomposition module, which provides beneficial trade-off guidance in making a sound decision upon Pareto-front options.

A multi-attribute subjective evaluation method on binaural 3D audio without reference stimulus

With the rise of the concept of metaverse and the development of virtual reality (VR), the effect of 3D audio has become an important factor which influences the immersive experience. Considering the widely used binaural 3D audio, it’s important to evaluate the quality as different representation methods exist. However, there’s no reference stimulus when evaluating binaural 3D audio, making it difficult to compare different representation methods. This paper proposes a multi-attribute evaluation method on binaural 3D audio without reference stimulus. Through this method, a comparative experiment with channel-based, scene-based, and object-based binaural 3D audios was conducted. The results prove that binaural 3D audios of these three representation methods are similar in audio quality, but differ greatly in spatial sense, giving a solid data support to the feature comparison of channel-based, scene-based, and object-based methods. It is also proved that the evaluation method is valid through statistical analysis and can be used in other test requirements of binaural 3D audio.

Evaluation and selection model of community group purchase platform based on WEPLPA-CPT-EDAS method

Community group purchase has been a neoteric and high-growth shopping model in recent years. Group purchase leaders develop their sociability and cooperate with group purchase platforms to provide residents with a convenient and low-cost shopping experience. In this study, we construct a comprehensive evaluation system for community group purchase platforms based on the operation process and the literature review. By extending the original operator, a new extended probabilistic linguistic power average (EPLPA) operator and weighted EPLPA (WEPLPA) operator for probabilistic linguistic term sets (PLTSs) are proposed, which have excellent performance in interpretability and retain the extreme evaluation information. In addition, the WEPLPA-CPT-EDAS model is proposed on the basis of cumulative prospect theory (CPT) and evaluation based on distance from average solution (EDAS). A multi-attribute evaluation method for community group purchase platforms is ultimately formed. Finally, the whole process of the model is demonstrated with a practical case concerning the selection of a community group purchase platform, and the model is compared and analyzed to verify the validity.

Evaluation of the Spatial Suitability of Offshore Wind Farm—A Case Study of the Sea Area of Liaoning Province

Actively promoting the development of offshore wind power is an inevitable choice if the People’s Republic of China plans to fulfill its international commitments, respond to climate change, ensure energy security, and improve energy infrastructure. Inevitably, offshore wind power development will conflict with other marine activities, including mariculture and shipping. Therefore, learning how to develop offshore wind power without affecting the environment or conflicting with other marine activities is crucial to the conservation of spatial marine resources. The rapid development of offshore wind power in Liaoning Province has allowed researchers to develop an index system that can be used to evaluate the suitability of offshore wind power development sites by considering costs, environmental protection, and sea management. Spatial analysis and a multi-attribute evaluation method integrating a fuzzy membership function were used to evaluate offshore wind farm placement in Liaoning. The results classified 5%, 18%, 21%, and 56% offshore areas of Liaoning as very suitable, relatively suitable, somewhat unsuitable, and unsuitable for wind power development, respectively. The results of this paper can provide a reference for decision makers who plan for offshore wind farm locations under the constraints of high-intensity development.

Risk assessment on multimodal transport network based on quality function deployment

As a necessary work before risk prevention and control, risk assessment has become increasingly important in multimodal transport networks. On the basis of the idea of quality function deployment (QFD), this paper combines fuzzy G1 method, two-tuple linguistic representation model, and dynamic intuitionistic fuzzy multi-attribute evaluation method to propose a new method for risk assessment. QFD is innovatively used to create an overall framework, which includes the basic importance rating of risk factors, the correlation between risk factors and network failures, the importance rating of network failures, and the comprehensive importance rating of risk factors. The comprehensive importance rating is regarded as an indicator to verify, improve, and modify the basic importance rating, which can make up for the disadvantage of the existing risk assessment methods in proving the credibility of the results. Its result is the key to judging the degree of influence of risk factors on network operation. This paper takes the multimodal transport network in the Sichuan–Tibet region of China as an example for analysis. The results are analyzed and discussed to prove the validity and advancement of the proposed method.

A Multiattribute Performance Measurement for Marine Energy Saving and Environmental Protection Enterprises

Fang, F., 2020. A multiattribute performance measurement for marine energy saving and environmental protection enterprises. In: Gong, D.; Zhang, M., and Liu, R. (eds.), Advances in Coastal Research: Engineering, Industry, Economy, and Sustainable Development. Journal of Coastal Research, Special Issue No. 106, pp. 396–401. Coconut Creek (Florida), ISSN 0749-0208.With the rapid development of modern technology and industries, an industry revolution is approaching. Many countries have adjusted their own strategic development steps by raising emerging industries that are based on significant technical breakthroughs and development demand. The Chinese government has adopted the “blue economy” as the direction for high-quality development. Energy Saving and Environmental Protection (ESEP) industries have been chosen for the nature of their intensive knowledge and technology, their low consumption of material resources, their large growth potential, and the good overall benefit. China's listed ESEP enterprises, as an example, set performance evaluation indicators based on the path of their corporate value formation and use multiattribute evaluation methods to obtain stable evaluation results. They also comprehensively evaluate marine ESEP safeguard measures to protect the marine environment, to contribute toward transforming traditional development methods, and to accelerate the high-quality development of the marine economy.

Critical Lines Identification for Skeleton-Network of Power Systems under Extreme Weather Conditions Based on the Modified VIKOR Method

Identifying and preferentially reinforcing critical lines for skeleton-network of power systems is significant in improving the secure and stable operation of power systems under extreme weather conditions. Under this background, in this paper, six indexes are first presented for identifying critical lines for skeleton-network with the power elements’ parameters and the impact of extreme weather conditions, the network topology and the operation state of power systems considered. Then, the modified Vise Kriterijumska Optimizacija I Kompromisno Resenje in Serbian (VIKOR) method, in which the synthetic weights of indexes determined by the combination weighting method are adopted, is utilized to identify the importance degrees of lines in a given power system. Both the overall performance and the outstanding individual performance of lines are considered, which is beneficial for the critical lines identification for skeleton-network. Finally, the proposed multi-indexes and methods are applied to part of the actual Guangdong power system in China. The numerical results are compared with those obtained by single-attribute and multi-attribute evaluation methods and other evaluation methods.

CRITIC-Based Node Importance Evaluation in Skeleton-Network Reconfiguration of Power Grids

Seven centrality indexes are first presented for identifying important nodes with topological features of a complex network and electrical characteristics of a power system considered. Then, a criteria importance through intercriteria correlation-based multi-index decision-making method, in which entropy and the Spearman’s rank correlation coefficient are integrated for reflecting the differences and correlations among multiple indexes, respectively, is presented to comprehensively identify the importance degrees of nodes in a given power grid. Finally, the proposed indexes and method are applied to actual Guangdong power system in China, and the results are compared with those attained by single-attribute and multi-attribute evaluation methods.

Using the data mining method to assess the innovation gap: A case of industrial robotics in a catching-up country

It is critical for “catching-up” countries to narrow innovation gaps with developed countries by developing emerging industries. This research introduces a data-mining based method to systematically assess the national innovation gap that is specifically for emerging industries. The method examines the five key attributes of emerging industries, including the ownership of platform technologies, globalization intention, international knowledge position, university-industry linkage, and cross-disciplinary technology development. In particular, this method combines data-mining with experts' knowledge to build patent-training examples, and then uses a support vector machine-based classifier to single out all high-quality patents for each innovation attribute. Based on the selected high-quality patents, the authors utilize a factorial design analysis to systematically evaluate the innovation gap between countries. This method can significantly reduce measurement bias of traditional single patent indicators. In addition, it also can robustly adjust measuring weights in response to the specifics of each innovation attribute, while traditional multi-attribute evaluation methods cannot. As a result, this research empirically shows that China' industrial robot sector has apparent innovation gaps compared to developed economies, specifically in university-industry linkage, cross-disciplinary competence, and globalization intention, and this calls for the attention of policy makers and industrial experts.

Post-evaluation of a water pollution control plan: methodology and case study

China has developed more than 20 water pollution control plans for river basins (RBWPs) since 1996. However, the implementation has generally lagged. This paper proposes a three-step, post-evaluation methodology to analyze the implementation result of a RBWP and its influential factors. First, a multi-attribute evaluation method based on an index system is established to score the enforcement results of a RBWP. Indicators measure how well a RBWP has achieved its objectives, which include water quality compliance, pollution load control, project construction, financial inputs, and related management requirements. Second, an interpretive structural model is used to detect the significant factors that affect RBWP implementation. This model can effectively analyze the cause-effect chain and hierarchical relationship among variables. Five groups of factors were identified, namely, plan preparation, water resource endowment, policy, institution, and management. Both qualitative and quantitative methods are employed in the third step to evaluate the extent to which these factors have influenced the execution result of a RBWP, including pre-post contrast, scenario analysis, and correlation analysis. This research then post-evaluated the implementation of the Huai River Basin water pollution control plans (HRBWPs) over a period of 10 years as a case study. Results showed that the implementation of the H-RBWPs was unsatisfactory during 2001–2005, although it improved during 2006–2010. The poor execution of these plans was partially caused by the underestimation of regional economic development in combination with ineffective industrial structure adjustment policies. Therefore, this case study demonstrates the feasibility and flexibility of the proposed post-evaluation methodology.

Evaluation for the Hypersonic Near-Space Target Threat Based on GRA-TOPSIS Model

From the need of antagonising the hypersonic near-space target (HNST), a multi-attribute evaluation method of HNST threat based on RAG-TOPSIS is proposed; the target attribute weights are dealt with using RAG; the grey state for people to understand the selection of attributes in the traditional TOPSIS is avoided and the confirming of the weights of target attributes is more scientific. The multi-attribute evaluation model of HNST’s threat is established, then the rationality and effectiveness of the method is verified by an example.

Research on the Comparability of Multi-attribute Evaluation Methods for Academic Journals

Abstract This paper first constructs a classification framework for multi-attribute evaluation methods oriented to academic journals, and then discusses the comparability of the vast majority of non-linear evaluation methods and the majority of linear evaluation methods theoretically, taking the TOPSIS method as an example and the evaluation data on agricultural journals as an exercise of validation. The analysis result shows that we should attach enough importance to the comparability of evaluation methods for academic journals; the evaluation objectives are closely related to the choice of evaluation methods, and also relevant to the comparability of evaluation methods; the specialized organizations for journal evaluation had better release the evaluation data, evaluation methods and evaluation results to the best of their abilities; only purely subjective evaluation method is of broad comparability.

NEWS AND COMMENT ON REVENT DEVELOPMENTS FROM AROUND THE WORLD : World summit on information society set to take place under ITU’s leadership

It is critical for “catching-up” countries to narrow innovation gaps with developed countries by developing emerging industries. This research introduces a data-mining based method to systematically assess the national innovation gap that is specifically for emerging industries. The method examines the five key attributes of emerging industries, including the ownership of platform technologies, globalization intention, international knowledge position, university-industry linkage, and cross-disciplinary technology development. In particular, this method combines data-mining with experts' knowledge to build patent-training examples, and then uses a support vector machine-based classifier to single out all high-quality patents for each innovation attribute. Based on the selected high-quality patents, the authors utilize a factorial design analysis to systematically evaluate the innovation gap between countries. This method can significantly reduce measurement bias of traditional single patent indicators. In addition, it also can robustly adjust measuring weights in response to the specifics of each innovation attribute, while traditional multi-attribute evaluation methods cannot. As a result, this research empirically shows that China' industrial robot sector has apparent innovation gaps compared to developed economies, specifically in university-industry linkage, cross-disciplinary competence, and globalization intention, and this calls for the attention of policy makers and industrial experts.

Future-sketching and multi-attribute evaluation may affect your preference order of complex policy scenarios

A total of 158 citizens from Groningen and surrounding villages evaluated summary descriptions of four different policy scenarios (A-D) for metropolitan traffic in the next decades. Eighty subjects rank-ordered the scenarios following a multi-attribute evaluation method. The other 78 subjects provided an 'intuitive' rank-ordering. Of each group, half of the subjects did and the other half did not sketch their expected future consequences of each scenario. Multi-attribute evaluation of policy scenarios yielded a greater consensus among subjects and it led to another mean preference order than did intuitive evaluation. Of all preference orderings, 138 (87%) could be unfolded into one J(oint)-scale ranging from the 'alternative-friendly' scenario D to the 'car-friendly' scenario A. Individual subjects' ideal points and corresponding individual preference orders fell into seven different categories along this J-scale. Subgroups holding the seven preference orders significantly differed in traffic problem awareness, annual car-kilometrage and the percentage of multi-attribute evaluators. It is concluded that multi-attribute evaluation of complex preference objects may guide subjects towards greater consensus and towards another preference ranking than when policy scenarios are evaluated intuitively. This may be mediated by the set of value attributes used, whose structure of intercorrelations may reflect (or induce) a simple(r) preference foundation. The results are interpreted in terms of cognitive elaboration of choice alternatives which serves the construction of preferences about them. The importance of good 'scenario thinking' for complex policy making is emphasized. (C) 1999 John Wiley & Sons, Ltd.